Sr. Data Engineer - Azure(Fabric) (Ahmedabad)

Job Title: Senior Data Engineer (Azure) Location: Ahmedabad, Gujarat Experience: 4+ years Job Type: Full Time Department: Data Engineering About Simform: Simform is a premier digital engineering company specializing in Cloud, Data, AI/ML, and Experience Engineering to create seamless digital experiences and scalable products. Simform is a strong partner for Microsoft, Google Cloud, and Databricks. With a presence in 5+ countries, Simform primarily serves North America, the UK, and the Northern European market. Simform takes pride in being one of the most reputed employers in the region, having created a thriving work culture with a high work-life balance that gives a sense of freedom and chance to grow. Role Overview: We are looking for a Senior Data Engineer (Azure) who is passionate about managing large-scale data, eager to take on challenges, and committed to delivering exceptional results. This role requires expertise in Azure data services, ETL pipelines, and database management. If you are a proactive problem solver with a strong technical background and a team player with a positive attitude, we want to hear from you. Key Responsibilities - Design, develop, monitor, and maintain end-to-end data pipelines on Microsoft Fabric. - Work with Microsoft Fabric services such as - Fabric Pipelines (ETL/ELT) - Fabric Dataflows Gen2 - Fabric Lakehouse (Bronze/Silver/Gold architecture) - Fabric Warehouse (SQL analytics engine) - OneLake (unified storage) - Fabric Notebooks (PySpark / Spark SQL) - Direct Lake mode for Power BI - Fabric KQL Database / Eventstream / Real-Time Hub - Fabric Shortcuts (crossworkspace & multi-cloud virtualization) - Semantic Models - Data Activator (alerting / action triggers) For ingestion, transformation, modeling, analytics, and real-time processing. - Develop and optimize data ingestion, transformation, and analytical workflows for structured and unstructured data. - Design efficient data models to ensure optimal performance in data processing and storage. - Implement large-scale data ingestion pipelines capable of handling TBs of data. - Build distributed batch or real-time data solutions using Apache Kafka, Apache Airflow, Databricks, or Fabric Real-Time Hub components. - Build and maintain ETL/ELT pipelines for data integration and migration. - Work extensively with relational databases (PostgreSQL, MySQL, SQL Server) and NoSQL databases (MongoDB, CosmosDB, Cassandra, GraphDB). - Optimize SQL queries, performance tuning, indexing, partitioning, and denormalization strategies. - Collaborate with cross-functional teams, including data scientists and software engineers, to integrate data solutions into production environments. - Ensure data quality, integrity, governance, lineage, and compliance with security best practices. - Participate in client interactions and stakeholder meetings to gather requirements and provide technical insights. Required Skills & Qualifications - Bachelors/Masters degree in Computer Science, Data Engineering, or a related field. - 4+ years of hands-on experience in data engineering, ETL development, and data pipeline implementation. - Proficiency in Python and SQL for data processing and analysis. - Strong expertise in Microsoft Fabric (Pipelines, Dataflows Gen2, Lakehouse, Warehouse, OneLake, Notebooks, Direct Lake, KQL Database, Real-Time Hub, Eventstream, Shortcuts, Semantic Models). - Experience with big data frameworks like Spark, Kafka, and Airflow. - Working knowledge of cloud data warehouse solutions such as Synapse, Snowflake, Redshift, or BigQuery. - Experience with NoSQL databases (MongoDB, CosmosDB, Cassandra, GraphDB) and relational databases. - Strong analytical and problem-solving skills. - Ability to work independently, mentor peers, and meet tight deadlines. - Excellent interpersonal and communication skills. - Experience with cloud-based data architecture and security best practices. - Fabric certifications are a plus (DP600, DP700, Fabric Analytics/Data Engineer Associate). Preferred Qualifications (Nice to Have) - Experience with data lake architectures. - Knowledge of machine learning model deployment and data processing for AI applications. - Prior experience in automated data pipeline deployment using CI/CD workflows. Why Join Us: - Young Team, Thriving Culture - Flat-hierarchical, friendly, engineering-oriented, and growth-focused culture. - Well-balanced learning and growth opportunities - Free health insurance. - Office facilities with a game zone, an in-office kitchen with affordable lunch service, and free snacks. - Sponsorship for certifications/events and library service. - Flexible work timing, leaves for life events, WFH, and hybrid options. Autofill from resume Save time by uploading your resume. (Only PDF or DOCX format supported) Loading. .